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ZenTao Analytics

作者 jiaolongxue · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
437
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当前安装
1
版本数
在 OpenClaw 中安装
/install zentao-analytics
功能描述
禅道任务数据分析技能。访问禅道数据库/API,分析员工任务数据(数量、工时、难度),计算工作效率和工作饱和度。使用场景:团队绩效评估、工作量分析、资源分配优化、项目进度监控。
安全使用建议
This skill appears to be an analytics helper for ZenTao and is not obviously malicious, but it's incomplete and inconsistent. Before installing or running it: 1) Do not run it with production/root DB credentials — create a limited read‑only account or use a test instance. 2) Expect that the scripts are partially stubbed: fetchTaskData is a demo and there are missing helper scripts (test-connection.js) and no package.json; ask the author for a full implementation and dependency list. 3) Verify where credentials are stored (use a secure .env and avoid committing secrets). 4) Review the code locally to ensure no hidden network endpoints or exfiltration paths were added, and test on a sandboxed ZenTao instance first. 5) If you need the registry to show required env vars, request that the publisher update metadata to declare ZENTAO_URL, ZENTAO_API_KEY and/or DB credentials explicitly and provide guidance on least-privilege credentials.
功能分析
Type: OpenClaw Skill Name: zentao-analytics Version: 1.0.0 The skill is designed to perform ZenTao analytics, which inherently requires handling highly sensitive credentials (API keys, database usernames/passwords) and making external network/database connections. The `scripts/analyze-tasks.js` file is configured to read these credentials from environment variables, and although it currently uses mock data, a `TODO` comment indicates that real API/database calls are planned. This capability, while necessary for the skill's stated purpose, introduces significant security risk due to the handling of sensitive data and external connectivity, classifying it as suspicious rather than benign.
能力评估
Purpose & Capability
The name/description (ZenTao analytics) matches the code and docs: the skill legitimately needs access to a ZenTao API or database to compute task and workload metrics. Requiring ZENTAO_URL, ZENTAO_API_KEY or DB credentials is coherent with the stated purpose. However, the registry metadata claims no required environment variables while the SKILL.md and scripts clearly expect environment variables for API/DB access — this mismatch is unexpected and should have been declared.
Instruction Scope
SKILL.md instructs the agent/user to configure env vars and run node scripts. The included analyze/export scripts read process.env and local files only and currently use simulated data (fetchTaskData is a stub). The docs reference additional test scripts (test-connection.js/test-db-connection.js) and an api-schema.md that are not present; the README also mentions exporting 'to external systems' but export-metrics.js only writes local JSON/CSV. The instructions therefore over-promise and refer to files/actions that aren't included, which increases risk if users run it expecting working network/DB behavior.
Install Mechanism
There is no install spec (instruction-only with a couple of scripts). That is low risk from an install perspective — no remote downloads or package installs are performed by the registry metadata. However, the scripts assume a Node environment and any missing runtime dependencies or package.json are not declared here.
Credentials
The skill requires sensitive credentials (ZENTAO_API_KEY, or DB credentials including ZENTAO_DB_USER/ ZENTAO_DB_PASS) to perform its function — that is reasonable for this purpose. The problem is the registry metadata does not declare any required environment variables or primary credential, so users won't be warned by the installer. Also the SKILL.md suggests using a read-only DB account (good), but the code has no safeguards and there is no guidance to avoid using high‑privilege accounts. The missing declaration and lack of explicit guidance about credential scope are concerning.
Persistence & Privilege
The skill does not request 'always: true' and does not attempt to modify other skills or system-wide settings. It runs on demand and writes only local output files when invoked, which is consistent with its purpose.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install zentao-analytics
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /zentao-analytics 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release: 禅道任务数据分析,员工效率和工作饱和度分析
元数据
Slug zentao-analytics
版本 1.0.0
许可证
累计安装 0
当前安装数 0
历史版本数 1
常见问题

ZenTao Analytics 是什么?

禅道任务数据分析技能。访问禅道数据库/API,分析员工任务数据(数量、工时、难度),计算工作效率和工作饱和度。使用场景:团队绩效评估、工作量分析、资源分配优化、项目进度监控。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 437 次。

如何安装 ZenTao Analytics?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install zentao-analytics」即可一键安装,无需额外配置。

ZenTao Analytics 是免费的吗?

是的,ZenTao Analytics 完全免费(开源免费),可自由下载、安装和使用。

ZenTao Analytics 支持哪些平台?

ZenTao Analytics 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 ZenTao Analytics?

由 jiaolongxue(@jiaolongxue)开发并维护,当前版本 v1.0.0。

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